Saturday, January 31, 2026

North Korea Dismisses APEC Invitation Talk as ‘Vain Delusions’

North Korea's Kim Jong Un unlikely to attend APEC summit, with officials dismissing South Korea's invitation proposals as unrealistic.

Unlocking the Future of Healthcare: How Adaptive Clinical Trials Can Transform Regenerative Medicine in Asia

The article discusses South Korea's efforts to ease regulations on regenerative medicine to improve patient access while addressing significant challenges.

Elon Musk Dances His Way to Victory at Tesla Shareholder Meeting!

WSJ reported that Tesla CEO Elon Musk celebrated his victory in a wage vote by dancing on the stage of the general meeting.

Sang In Yang

The Cells That Start It All: KAIST Breaks Ground in Brain Cancer Research

Researchers at KAIST have identified precancerous cells in glioblastoma, revealing their role in tumor evolution and treatment resistance.

KAIST’s Brain-Inspired Chip Could Be the Future of AI Processing

KAIST's Dr. Kim Kyung Min developed the Neuransistor, a semiconductor mimicking brain neuron functions for faster data processing.

New Drug Candidate Shows Promise Against Solid Tumors by Eliminating M2 Macrophages

Researchers have developed a peptide drug that targets M2 macrophages, enhancing solid tumor immunotherapy effectiveness.

New Battery Tech Could Power Your Phone Longer—Even in 122°F Heat

A South Korean team has developed a nanoparticle electrolyte for lithium metal batteries, enhancing performance and lifespan significantly.

No Cooling Required: KAIST’s Tiny Sensor Sees What the Eye Can’t

KAIST's research team developed a groundbreaking mid-infrared photodetector that operates at room temperature without cooling systems.

KAIST Develops New Bioplastic That Rivals Petroleum-Based Plastics

KAIST researchers engineered a microbe to produce biodegradable polyester amide from glucose, offering a sustainable plastic alternative.

KAIST’s vTrain Reduces Training Costs and Increases Efficiency for AI Models

KAIST's vTrain tool optimizes LLM training time, improving GPU efficiency by 10% and reducing costs by over 5%, now open-source.

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